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ProductWebBench: Evaluating Website Continuity Beyond Task Completion

arXiv AI Papersen

21d

Idade

Publicado
Coletado

Frontend coding agents are usually graded on one question: did the requested target get built. Real engineering changes carry a second obligation, because the rest of the site has to keep working. We call that second obligation website continuity, and introduce ProductWebBench, a benchmark that scores both on living frontend repositories: 320 Change tasks over existing code and 80 long-horizon Build tasks. Every task freezes a repository snapshot, staged requirements, browser evidence and deterministic checks before evaluation, and enters only once a reference passes every check and plausible-wrong ones fail. A simulated user reveals the requirements one stage at a time, and every check cleared earlier stays armed for the rest of the run. Across 8,737 runs from 13 models the two come apart: of the Change runs passing every requested-work check, 28.2% still fail a continuity check -- a blank route, horizontal overflow, console errors -- and 10.8% push a browser state they had already passed back to failing. Because the same checks also run on the untouched repository, each regression carries exact provenance, not a post-hoc label: on the 586 runs where both readings exist, 18.3% are caught breaking a verified state. Interaction is a further blind spot, failing in 29.5% of runs whose static DOM already passes. ProductWebBench therefore scores a patch against the living system it lands in, not the target alone.

Autores

Jiajun Wu, Jian Yang, Yaxin Du, Shukai Liu, Linzheng Chai, Tuney Zheng, Wei Zhang, Haitao Yang e mais 4

Categorias

  • cs.SE
  • cs.AI
Leia o artigo completo em arxiv.org

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ProductWebBench: Evaluating Website Continuity Beyond Task…